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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "LayerWithParameters.hpp"
namespace armnn
{
class ChannelShuffleLayer : public LayerWithParameters<ChannelShuffleDescriptor>
{
public:
void Accept(ILayerVisitor& visitor) const override;
/// Creates a dynamically-allocated copy of this layer.
/// @param graph The graph into which this layer is being cloned
ChannelShuffleLayer* Clone(Graph& graph) const override;
/// Makes a workload for the ChannelShuffle type.
/// @param factory The workload factory which will create the workload
/// @return A pointer to the created workload, or nullptr if not created.
virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of @ref ChannelShuffleLayer.
/// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
void ValidateTensorShapesFromInputs() override;
// TODO Do you need to create an InferOutputShapes function for ChannelShuffle?
protected:
ChannelShuffleLayer(const ChannelShuffleDescriptor& param, const char* name);
~ChannelShuffleLayer() = default;
};
} // namespace
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